Home
Categories
EXPLORE
True Crime
Comedy
Business
Society & Culture
Sports
TV & Film
History
About Us
Contact Us
Copyright
© 2024 PodJoint
00:00 / 00:00
Sign in

or

Don't have an account?
Sign up
Forgot password
https://is1-ssl.mzstatic.com/image/thumb/Podcasts211/v4/ae/27/99/ae27994b-1e80-565e-179d-54537bad86fb/mza_12747452966680929742.jpg/600x600bb.jpg
AI Builders
Front Lines
60 episodes
8 hours ago
GTM conversations with founders building the future of AI.
Show more...
Entrepreneurship
Business
RSS
All content for AI Builders is the property of Front Lines and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
GTM conversations with founders building the future of AI.
Show more...
Entrepreneurship
Business
https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_episode/42470105/42470105-1762878049048-088b221b49e1d.jpg
Krishna Gade, CEO & Founder of Fiddler: $68 Million Raised to Build the Future of AI Observability
AI Builders
28 minutes 10 seconds
9 months ago
Krishna Gade, CEO & Founder of Fiddler: $68 Million Raised to Build the Future of AI Observability

Fiddler is pioneering AI observability technology to help enterprises deploy trustworthy artificial intelligence. With $68 million in funding, Fiddler provides a "watchdog" platform that continuously monitors AI models, enabling companies to maximize ROI while minimizing risks. In a recent episode of Category Visionaries, I sat down with Krishna Gade, CEO and Founder of Fiddler, to discuss the critical importance of transparency in AI systems and how businesses can safely operationalize AI capabilities in an era where AI applications are rapidly proliferating across industries.


Topics Discussed:

  • The evolution of AI from classical machine learning to generative AI and agentic systems
  • The transparency challenges associated with increasingly complex "black box" AI models
  • How Fiddler's observability platform provides insights into AI model performance and trustworthiness
  • The emergence of "AI observability" as a defined category in enterprise tech
  • The tension between maximizing AI's business value while minimizing associated risks
  • The ongoing transformation of enterprise software as AI becomes central to every application
  • Major AI trends including decreasing model training costs and the rise of automation through AI agents
AI Builders
GTM conversations with founders building the future of AI.